Adaptive hermite-polynomial-based CMAC neural control for chaos synchronization
學年 101
學期 1
發表日期 2012-11-30
作品名稱 Adaptive hermite-polynomial-based CMAC neural control for chaos synchronization
作品名稱(其他語言)
著者 Hsu, Chun-Fei
作品所屬單位 淡江大學電機工程學系
出版者
會議名稱 CACS 2012 International Automatic Control Conference
會議地點 Yunlin, Taiwan
摘要 Gyros are a particularly interesting form of nonlinear systems that have attracted many researchers due to their applications in the navigational, aeronautical and space engineering domains. In this paper, a problem of synchronization between two chaotic gyros based on a mater-slave scheme is studied. An adaptive Hermite-polynomial-based CMAC neural control (AHCNC) system which is composed of a neural controller and a smooth compensator is proposed. The neural controller using a Hermite-polynomial-based CMAC neural network (HCNN) is main controller and the smooth compensator is designed to guarantee system stable in the Lyapunov stability theorem. Finally, the simulation results show that the proposed AHCNC scheme can achieve favorable chaos synchronization after the controller parameters learning.
關鍵字 Adaptive control;Neural control;CMAC neural network;Hermite polynomial
語言 en
收錄於
會議性質 國際
校內研討會地點
研討會時間 20121130~20121202
通訊作者
國別 TWN
公開徵稿 Y
出版型式 電子版
出處 Proceedings of 2012 CACS International Automatic Control Conference, 6p.
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